SKU: 27934790634
cybex aton g swivel

cybex aton g swivel Cybex Aton G Swivel SensorSafe Infant Car Seat

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Description

cybex aton g swivel Cybex Aton G Swivel SensorSafe Infant Car SeatSwivel convenience and everyday safety from birth. The CYBEX Aton G Swivel with Base is an infant car seat designed for newborns up to approx. 18 months, combining 180 swivel convenience, SensorSafe smart technology, lightweight portability, and adjustable comfort for easier loading, unloading, and everyday travel. Key Features 180 swivel base: Rotate the seat toward the vehicle door for easier loading and unloading when installed in the vehicle.

Swivel convenience and everyday safety from birth.

The CYBEX Aton G Swivel with Base is an infant car seat designed for newborns up to approx. 18 months, combining 180° swivel convenience, SensorSafe smart technology, lightweight portability, and adjustable comfort for easier loading, unloading, and everyday travel.

Key Features

  • 180° swivel base: Rotate the seat toward the vehicle door for easier loading and unloading when installed in the vehicle.
  • Lightweight design, advanced safety: The carrier is easy to install and carry without compromising safety-focused construction.
  • SensorSafe smart technology: Bluetooth-enabled alerts notify you if the chest clip becomes unbuckled, the backseat temperature is too hot or cold, or the child is unintentionally left behind.
  • Linear Side-Impact Protection: L.S.P. is integrated into the shell to help reduce crash force in a side impact collision.

Feature Visual Guide

180° Swivel

Easier loading and unloading in the car

180° rotation on the swivel base makes it easier to load and unload your child when the seat is installed in the vehicle. *Load Leg Base option is not available in Canada.

Lightweight Design, Advanced Safety

Easy to carry, easier to install

The lightweight carrier is easy to install and carry without compromising on safety.

SensorSafe Smart Technology

Real-time safety alerts sent to your app

SensorSafe sends real-time alerts to your mobile app if the chest clip becomes unbuckled, the backseat temperature is too hot or cold, or the child is unintentionally left behind.

Linear Side-Impact Protection

Energy Absorbing Shell protection

Integrated into the seat's Energy Absorbing Shell, Linear Side-Impact Protection helps reduce crash force in a side impact collision.

11-Position Height-Adjustable Headrest with No-Rethread Harness

Adjusts with your growing child

Adjust the headrest through 11 positions while the harness grows with your child, without rethreading.

Easy Glide Recline

Quick recline adjustment in the base

Use the in-base recline to fine-tune the seat angle for comfort and fit.

Air Ventilation

Breathable comfort on the go

Airflow-focused design helps keep air moving around your baby.

Oversized Sun Protection

Extended sun coverage

The oversized canopy helps provide extended sun coverage for your child.

Specifications

Age range Newborn to approx. 18 months
Child weight range 4–35 lbs (1.8–15.9 kg)
Child height range Up to 32 in (81.3 cm)
Product dimensions 26.1 × 17.5 × 14.7–22.8 in
Product weight 9 lbs (4.1 kg)
Headrest positions 11
Aircraft approved Yes (FAA compliant)

What’s Included

  • Aton G Swivel
  • Aton G Swivel Base
  • SensorSafe
  • Infant Insert
  • Owner’s Manual

FAQ

Can I use this car seat without the base?

Yes. The Aton G Swivel includes alternate belt guides for base-free installation using a locking vehicle lap/shoulder belt. Check the owner’s manual for the correct setup.

Can my child sit in the car seat in a forward-facing position?

No. This CYBEX infant car seat is designed for rear-facing use only.

Is this seat approved for air travel?

Yes, it is approved for airplane use per FAA requirements. Contact your airline before departure to confirm acceptance.

When should I remove the infant insert?

CYBEX recommends using the infant insert until about 11 lbs or approximately 3 months old, then adjusting support as needed for fit.

Can I leave the seat swiveled after taking my baby out?

The seat may remain swiveled only while the car is parked. Return it to the drive position before traveling again.

How should I care for the fabric?

Machine wash separately in cold water on a delicate cycle. Do not bleach or iron; drip dry.

Care Instructions & Important Notes

Use only in the rear-facing position and follow the user guide for installation, use, and care. Replace the seat after any crash of any kind, even if it was unoccupied. Keep thick or puffy clothing out from under the harness, and make sure the child’s head remains at least 1 inch below the top of the carrier.

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SKU: 27934790634

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Zygerian99
Battle Creek, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
New York, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Louisville, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Port Orchard, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Belleville, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017

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